Expert System Of Syzygium Aqueum Disease Diagnose Using Bayes Method
Agus Junaidi, Nurmala Dewi, Taufik Baidawi, Sarifah Agustiani, Yoseph Tajul Arifin, Hengki Tamando Sihotang · Journal of Physics Conference Series · 2020
Abstract This research examines how to design an application of an expert system to diagnose Syzygium aqueum (burm.f.alston) plant diseases so that it is easier to detect diseases in the Syzygium aqueum (burm.f.alston) plants. This study uses the Bayes method to be more precise because it is based on the probability value of disease symptoms that arise in Syzygium aqueum (burm.f.alston) plants. In this research, the authors used a web-based application with the Bayes method. The results or outputs from this application provide the probability value of disease certainty and then the hypothesis is chosen with the largest value.